| A mixed-effects expectancy-valence model for the Iowa gambling task. | |
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MedLine Citation:
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PMID: 19587175 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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The Iowa gambling task (IGT; Bechara, Damasio, Damasio, & Anderson, 1994) was developed to simulate real-life decision making under uncertainty. The task has been widely used to examine possible neurocognitive deficits in normal and clinical populations. Busemeyer and Stout (2002) proposed the expectancy-valence (EV) model to explicitly account for individual participants' repeated choices in the IGT. Parameters of the EV model presumably measure different psychological processes that underlie performance on the task, and their values may be used to differentiate individuals across different populations. In the present article, the EV model is extended to include both fixed effects and subject-specific random effects. The mixed-effects EV model fits the nested structure of observations in the IGT naturally and provides a unified procedure for parameter estimation and comparisons among groups of populations. We illustrate the utility of the mixed-effects approach with an analysis of gender differences using a real data set. A simulation study was conducted to verify the advantages of this approach. |
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Authors:
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Chung-Ping Cheng; Ching-Fan Sheu; Nai-Shing Yen |
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Publication Detail:
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Type: Comparative Study; Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: Behavior research methods Volume: 41 ISSN: 1554-351X ISO Abbreviation: - Publication Date: 2009 Aug |
Date Detail:
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Created Date: 2009-07-09 Completed Date: 2009-10-01 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 101244316 Medline TA: Behav Res Methods Country: United States |
Other Details:
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Languages: eng Pagination: 657-63 Citation Subset: IM |
Affiliation:
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Department of Psychology, National Chengchi University, Taipei, Taiwan. cpcheng@nccu.edu.tw |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Cognition Computer Simulation Decision Making* Female Gambling / psychology* Humans Male Models, Psychological* Sex Characteristics |
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